WorkAI: A Toolkit for the Design of AI-driven Future of Work

The proliferation of (semi-)autonomous and learning interactive systems (i.e., artificial intelligence-driven, AI) will significantly change work practices. While AI promises an immense increase in performance, it also has novel experiential, social, cultural, and ethical implications. Unlike conventional systems, AI's potential agency and decision-making capabilities will turn AI-driven systems into counterparts and, at best, collaborators. We used a speculative, participatory approach to collect narratives about current and future work practices with AI, their conditions, and consequences. This informed ''WorkAI'', a card deck and a canvas to support the design of AI-driven work. The twenty cards encourage participants to apply important aspects such as reliability/trust or meaning to collaboration with AI. The toolkit was developed in two iterations. It provided structure to the discussion and stimulated questions that facilitated the development of future narratives about working with AI.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-10-16
DOI
https://doi.org/10.1145/3757525
Citations
2
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
2.48
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article

WorkAI: A Toolkit for the Design of AI-driven Future of Work

Marc Hassenzahl, Miglė Bareikytė, Shadan Sadeghian, Marcus Burkhardt
2 citations
Proceedings of the ACM on Human-Computer Interaction
Digital Transformation in Industry
2.48
article

WorkAI: A Toolkit for the Design of AI-driven Future of Work

Marc Hassenzahl, Miglė Bareikytė, Shadan Sadeghian, Marcus Burkhardt
article en
2 citations

Abstract

The proliferation of (semi-)autonomous and learning interactive systems (i.e., artificial intelligence-driven, AI) will significantly change work practices. While AI promises an immense increase in performance, it also has novel experiential, social, cultural, and ethical implications. Unlike conventional systems, AI's potential agency and decision-making capabilities will turn AI-driven systems into counterparts and, at best, collaborators. We used a speculative, participatory approach to collect narratives about current and future work practices with AI, their conditions, and consequences. This informed ''WorkAI'', a card deck and a canvas to support the design of AI-driven work. The twenty cards encourage participants to apply important aspects such as reliability/trust or meaning to collaboration with AI. The toolkit was developed in two iterations. It provided structure to the discussion and stimulated questions that facilitated the development of future narratives about working with AI.

Proceedings of the ACM on Human-Computer InteractionVol. 9(7)
University of Siegen (DE), Paderborn University (DE), European University Viadrina (DE)
Openalex Percentile: Top 9%
Digital Transformation in Industry
2.48
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